Keng-hao Chang
- Experimental and Cognitive Psychology top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Cognitive Neuroscience
- Co-authors
- Ruofei ZhangShuangfei ZhaiZhongfei Mark ZhangJohn CannyD. Grant FisherKatherine A. KaplanAllison G. HarveyRonald E. Dahl
- Topics
- Topic Modeling (6 papers)Emotion and Mood Recognition (4 papers)Web Data Mining and Analysis (3 papers)
- Partner nations
- United StatesTaiwanUnited Kingdom
In The Last Decade
Keng-hao Chang
20 papers receiving 294 citations
Peers
Comparison fields: 5 of 75
- Experimental and Cognitive Psychology 107
- Artificial Intelligence 81
- Computer Vision and Pattern Recognition 73
- Information Systems 65
- Cognitive Neuroscience 62
Countries citing papers authored by Keng-hao Chang
This map shows the geographic impact of Keng-hao Chang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Keng-hao Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keng-hao Chang more than expected).
Fields of papers citing papers by Keng-hao Chang
This network shows the impact of papers produced by Keng-hao Chang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Keng-hao Chang. The network helps show where Keng-hao Chang may publish in the future.
Co-authorship network of co-authors of Keng-hao Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Keng-hao Chang. A scholar is included among the top collaborators of Keng-hao Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keng-hao Chang. Keng-hao Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 21 | |
| 10 | 65 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | Speech analysis methodologies towards unobtrusive mental health monitoring | 1 |
| 14 | 34 | |
| 15 | 81 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 4 | |
| 19 | Multimodal Feedback and Guidance Signals for Mobile Touchscreen Keyboards | 3 |
| 20 | 10 |
About Keng-hao Chang
Keng-hao Chang is a scholar working on Experimental and Cognitive Psychology, Human-Computer Interaction and Artificial Intelligence, having authored 23 papers that have together received 316 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Emotion and Mood Recognition (4 papers) and Web Data Mining and Analysis (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (107 citations), Applied Psychology (19 citations) and Human-Computer Interaction (20 citations). Keng-hao Chang has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Ruofei Zhang, Shuangfei Zhai, Zhongfei Mark Zhang, John Canny, D. Grant Fisher, Katherine A. Kaplan, Allison G. Harvey, Ronald E. Dahl, Lisa S. Talbot and Eleanor L. McGlinchey. Their work appears in journals such as SLEEP, Multimedia Tools and Applications and Personal and Ubiquitous Computing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.